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AI memory workspace that saves your own sources (PDFs, Docs, YouTube, email) and answers questions from them, also inside ChatGPT.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Voice-AI platform offering real-time text-to-speech, speech-to-text and voice-agent models through one API.
Pay-as-you-go API aggregating thousands of image, video, audio and LLM models with custom inference hardware for lower per-request cost.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Private memory built from your own files and sources
- ✦Supports PDFs, Google Docs, URLs, YouTube and emails
- ✦Scoped, grounded question answering
- ✦Organization by project/campaign with shared team collections
- ✦Use inside ChatGPT
- ✦Automation via Make.com
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦Lifelike voice AI agents
- ✦24/7 availability
- ✦Customer-led conversational platform
- ✦Integration with enterprise systems
- ✦Sonic real-time text-to-speech
- ✦Ink speech-to-text
- ✦Line voice agents
- ✦Low-latency real-time output
- ✦Voice cloning
- ✦Single multilingual API
- ✦Single API for image, video, audio, 3D and LLM models
- ✦Standardized model addressing across hosted, partner and custom uploads
- ✦Support for LoRAs, ControlNets, VAEs and embeddings on open-source models
- ✦WebSocket and REST access with async webhook delivery
- ✦Pay-per-request billing with no infrastructure to manage
- ✦Raw serverless GPU/CPU compute for custom workloads
- →Querying your own documents with AI
- →Marketing, ops and sales knowledge management
- →Keeping team knowledge searchable and shared
- →Auto-capturing and searching emails
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Answering customer service calls
- →Providing information and support
- →Resolving customer issues
- →Automating call center operations
- →Building voice agents
- →Text-to-speech and transcription apps
- →Fraud-detection verification calls
- →Real-time customer support voice
- →Adding AI image or video generation to an app without managing infra
- →Batching multi-modal generation tasks in one API call
- →Running custom fine-tuned models via Model Upload
- →Cutting inference costs at high generation volume